Farm Team 23
Home
Roster
Scoring
Players Info
Lines
Team Stats
Schedule
Finance
Depth
News
History
Last Transactions
Injury / Suspension
Career Team Stat

Team Leaders

Team Stats

Team Info
	General Manager
	Division	Division 5
	Conference	Conference 2
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Name
	Capacity	18,000
	Attendance
	Season Tickets	7,200
Roster Info
	Pro Team	0
	Farm Team	0
	Contract Limit	0 / 250
	Prospects	0
Salary Cap
	Estimated Season Salary Cap	0$
	Available Salary Cap	79,500,000$
	Special Salary Cap Value	0$
	Players In Salary Cap	0
Finance
	Year to Date Revenue	0$
	Year To Date Expenses	0$
	Estimated Season Revenue	0$
	Estimated Season Expenses	0$
	Current Bank Account	10,000,000$
	Projected Bank Account	10,000,000$
Team History
	This Season	0-0-0 (0PTS)
	History	96-57-12 (0.582%)
	Playoff Appearances	2
	Playoff Record (W-L)	12-14
	Stanley Cup	0

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV
Scratches
Farm Team

	TEAM AVERAGE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV
Scratches
Farm Team

	TEAM AVERAGE	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	PKP	PKS	PKM	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Last Trade Date	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 5	Salary Year 6	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
0	0.00	0 Lbs	0 ft0	0.00	0$

Sum Year 1 Salary	Sum Year 2 Salary	Sum Year 3 Salary	Sum Year 4 Salary	Sum Year 5 Salary
0$	0$	0$	0$	0$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				40	1	2	2
2				30	1	2	2
3				20	1	2	2
4				10	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			40	1	2	2
2			30	1	2	2
3			20	1	2	2
4			10	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1				60	1	2	2
2				40	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1		60	1	2	2			60	1	2	2
2		40	1	2	2			40	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1			60	1	2	2
2			40	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense

Extra Forwards
Normal	PowerPlay	Penalty Kill
, ,	,

Extra Defensemen
Normal	PowerPlay	Penalty Kill
, ,		,

Penalty Shots
, , , ,

Goalie
#1 : , #2 :

Custom OT Lines Forwards
, , , , , , , , , ,

Custom OT Lines Defensemen
, , , ,

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
	Total	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.000	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0%	0	0	0%	0	0	0	0%	0	0	0%	0	0	0%	0	0	0	0	0	0

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
0	0	N/A	0	0	0	0	0	0	0	0	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
0	0	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
0	0	0%	0	0	0%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
0	0	0	0	0	0	0	0

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
0	0	0%	0	0	0%	0	0	0%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
0	0	0	0	0	0

Last Played Games Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor Team	Score	Home Team	Score	ST	OT	SO	RI	Link

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2	Level 3	Level 4	Luxury
Capacity	6000	5000	2000	4000	1000
Ticket Price	100	60	35	25	200
Attendance	0%	0%	0%	0%	0%
Attendance PCT	0%	0%	0%	0%	0%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
0	0 - 0%	0$	0$	18000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Average Salaries	Coaches Salaries	Special Salary Cap Value
0$	0$	0$	0$	0$

Salary Cap Per Days	Salary Cap To Date	Luxury Taxe Total	Players In Salary Cap	Players Out of Salary Cap
0$	0$	0$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
0$	0	0$	0$

Team Total Estimate
Estimated Season Expenses	Current Bank Account	Projected Bank Account
0$	10,000,000$	10,000,000$

Estimated Season Salary Cap	Available Salary Cap	Maximum Salary Cap	Over Minimum Salary Cap
0$	79,500,000$	79,500,000$	0$

Depth Chart

Left Wing

Center

Right Wing

Defense #1

Defense #2

Goalie

Prospects

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Prospect	Team Name	Draft Year	Overall Pick	Information	Last Trade Date	Link

Draft Picks

Year	R1	R2	R3	R4	R5
2	T23	T23	T23	T23	T23
3	T23	T23	T23	T23	T23
4	T23	T23	T23	T23	T23
5	T23	T23	T23	T23	T23
6	T23	T23	T23	T23	T23
Conditional Draft Picks

The STHS News Database File was not found or corrupted. Please create one in the League News Management section of the website logged in as a Commissioner.

Team 23 Trade History

No Injury or Suspension.

Team 23 Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS
1	Sam Reinhart	158	92	92	184	64	44	135	284	664	13.86%	32	3446	21.81	24	29	53	127	0	2	2	13	16	3	48.10%	2	1.07	0	6
2	Aleksander Barkov	163	58	118	176	62	38	133	443	510	11.37%	39	3555	21.81	9	32	41	92	2	0	2	13	7	2	57.07%	0	0.99	2	5
3	Gustav Forsling	164	35	118	153	49	113	248	227	298	11.74%	222	3928	23.95	19	30	49	159	0	0	0	5	11	3	0%	0	0.78	1	2
4	Matthew Tkachuk	163	51	67	118	65	102	284	156	350	14.57%	10	2738	16.80	10	22	32	64	0	0	0	0	10	3	37.80%	0	0.86	0	0
5	Victor Hedman	164	26	92	118	11	140	241	173	230	11.30%	180	3514	21.43	14	23	37	130	0	0	0	0	3	4	0%	0	0.67	0	0

Team 23 Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	A	EG	PS %	PSA
1	Anthony Stolarz	97	54	25	5	0.901	2.60	5223	6	5	226	2291	6	3	0.625	8
2	Spencer Knight	39	22	13	2	0.888	2.91	2251	0	1	109	971	3	2	1.000	3
3	Sergei Bobrovsky	48	20	19	4	0.888	3.05	2398	2	1	122	1093	1	2	0.600	10

Team 23 Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
Regular Season
24	82	43	30	0	4	2	1	2	286	246	40	41	22	16	0	1	1	0	1	153	118	35	41	21	14	0	3	1	1	1	133	128	5	100	286	510	796	5	2	92	96	93	7	2372	749	804	802	27	2219	646	876	1605	314	74	23.57%	367	65	82.29%	1	1512	2830	53.43%	1427	2695	52.95%	675	1269	53.19%	2021	1411	1911	589	1012	510
25	82	41	27	0	5	6	2	1	265	221	44	41	22	13	0	2	2	1	1	134	103	31	41	19	14	0	3	4	1	0	131	118	13	103	265	476	741	2	5	91	88	79	9	2332	754	791	759	38	2143	663	652	1552	293	56	19.11%	288	58	79.86%	3	1440	2735	52.65%	1355	2602	52.08%	691	1256	55.02%	2023	1433	1914	578	1018	512
Total Regular Season	164	84	57	0	9	8	3	3	551	467	84	82	44	29	0	3	3	1	2	287	221	66	82	40	28	0	6	5	2	1	264	246	18	203	551	986	1537	7	7	183	184	172	16	4704	1503	1595	1561	65	4362	1309	1528	3157	607	130	21.42%	655	123	81.22%	4	2952	5565	53.05%	2782	5297	52.52%	1366	2525	54.10%	4045	2845	3825	1167	2030	1023
Playoff
24	13	6	7	0	0	0	0	0	43	47	-4	6	2	4	0	0	0	0	0	16	21	-5	7	4	3	0	0	0	0	0	27	26	1	12	43	73	116	0	1	13	17	12	1	373	125	133	102	13	352	129	159	261	44	8	18.18%	59	11	81.36%	3	235	429	54.78%	234	426	54.93%	107	203	52.71%	334	236	309	94	163	79
24	13	6	7	0	0	0	0	0	43	47	-4	6	2	4	0	0	0	0	0	16	21	-5	7	4	3	0	0	0	0	0	27	26	1	12	43	73	116	0	1	13	17	12	1	373	125	133	102	13	352	129	159	261	44	8	18.18%	59	11	81.36%	3	235	429	54.78%	234	426	54.93%	107	203	52.71%	334	236	309	94	163	79
Total Playoff	26	12	14	0	0	0	0	0	86	94	-8	12	4	8	0	0	0	0	0	32	42	-10	14	8	6	0	0	0	0	0	54	52	2	24	86	146	232	0	2	26	34	24	2	746	250	266	204	26	704	258	318	522	88	16	18.18%	118	22	81.36%	6	470	858	54.78%	468	852	54.93%	214	406	52.71%	668	473	619	189	326	159

Team 23 Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	FO%	P/20
1	Aleksander Barkov	52	16	36	52	4	32	48	136	164	9.76%	40	1131	21.76	0	8	8	28	4	4	8	4	0	56.55%	0.92
2	Sam Reinhart	52	24	24	48	0	40	44	96	284	8.45%	16	1139	21.91	4	4	8	44	4	4	8	20	12	46.43%	0.84
3	Vladimir Tarasenko	52	4	44	48	12	8	16	36	148	2.70%	0	763	14.69	0	16	16	28	0	0	0	0	0	64.29%	1.26
4	Eetu Luostarinen	52	20	20	40	16	24	36	108	60	33.33%	16	761	14.64	0	0	0	0	0	4	4	8	0	55.36%	1.05
5	Niko Mikkola	52	4	28	32	28	60	96	36	64	6.25%	104	973	18.73	0	0	0	0	0	4	4	0	0	0%	0.66

Team 23 Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA
1	Anthony Stolarz	44	20	8	4	0.870	3.32	2025	8	4	112	860	0	0	0	0	0
2	Sergei Bobrovski	28	4	12	4	0.861	3.79	1202	0	0	76	548	0	0	0	0	0

	Team 23
	GP: 0 \| W: 0 \| L: 0 \| OTL: 0 \| P: 0 GF: 0 \| GA: 0 \| PP%: 0% \| PK%: 0% GM : \| Morale : 40 \| Team Overall : N/A